An open-source application for obtaining retrospective and prospective insights into overall hospital quality star ratings

Healthcare analytics (New York, N.Y.) Pub Date : 2024-12-01 DOI:10.1016/j.health.2024.100371

Kenneth J. Locey, Brian D. Stein, Ryan Schipfer, Brittnie Dotson, Leslie Klemp

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Abstract

Overall Hospital Quality Star Ratings (overall star ratings) are designed to assist healthcare consumers by summarizing dozens of hospital quality measures. These ratings are also used by hospitals to direct quality improvements and are often used in healthcare research. However, no analytical tools have been developed to provide insights into the data, measures, and scores of the overall star rating system. To this end, we developed a novel open-source application to provide retrospective insights, prospective estimates, and research-ready data. Users can 1) examine changes in hospital performance from 2021 onward, 2) recalculate overall star ratings based on hypothetical improvements, 3) download data for all hospitals included in the overall star rating system since 2021, and 4) obtain prospective estimates based on the overall star rating methodology and its data source (Care Compare). We demonstrate 99.6% accuracy when estimating overall star ratings six months prior to public release. Estimates of whether hospitals will retain their star rating are up to 90% accurate a year before public release. We discuss the use of our application in healthcare research and the potential for similar tools to be developed for other hospital rating and ranking systems.

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一个开源应用程序，用于获得回顾性和前瞻性的整体医院质量星级评级

总体医院质量星级评级（总体星级评级）旨在通过总结数十个医院质量指标来帮助医疗保健消费者。这些评级也被医院用来指导质量改进，并经常用于医疗保健研究。然而，还没有开发出分析工具来提供对整个星级评级系统的数据、测量和分数的见解。为此，我们开发了一个新颖的开源应用程序，以提供回顾性的见解、前瞻性的估计和研究就绪的数据。用户可以1)检查2021年以后医院绩效的变化，2)根据假设的改进重新计算总体星级，3)下载自2021年以来纳入整体星级评定系统的所有医院的数据，4)根据整体星级评定方法及其数据来源（Care Compare）获得前瞻性估计。我们在公开发布前6个月估计整体星级评级时的准确率达到99.6%。对医院能否保持其星级评级的估计在公布前一年准确率高达90%。我们讨论了我们的应用程序在医疗保健研究中的使用，以及为其他医院评级和排名系统开发类似工具的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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